DocumentCode
1066342
Title
A tracking filter for maneuvering sources
Author
Abutaleb, Ahmed S.
Author_Institution
MIT Lincoln Lab., Lexington, MA, USA
Volume
34
Issue
4
fYear
1989
fDate
4/1/1989 12:00:00 AM
Firstpage
471
Lastpage
475
Abstract
An adaptive filter that is based on the Pontryagin minimum principle and the method of invariant imbedding is introduced and applied to the problem of tracking maneuvering sources. The major advantages of this approach are: (1) no model for the target dynamics is required, and (2) the signal-to-noise ratio of the observation and stations need to be known. The performance of the proposed approach (with unknown system dynamics) is compared to that of the extended Kalman filter (with known system dynamics) for the maneuvering reentry vehicle. Examples are given for different target scenarios
Keywords
aerospace control; filtering and prediction theory; maximum principle; tracking; Pontryagin minimum principle; S/N ratio; adaptive filter; invariant imbedding; maneuvering target tracking; reentry vehicle; tracking filter; Adaptive filters; Electrons; Gain measurement; Noise measurement; Performance loss; Phased arrays; Q measurement; Radar tracking; Stability; Target tracking;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.28030
Filename
28030
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